Marketing Automation
email marketing
How to Build an Email Unsubscribe Analysis System
Track and analyze unsubscribe reasons to improve email retention.
Jay Banlasan
The AI Systems Guy
I built this email unsubscribe analysis reasons tracking system to stop guessing why people unsubscribe. Tracking reasons at scale reveals fixable patterns before they cost more subscribers.
Most ESPs show the count. This shows the why.
What You Need Before Starting
- Python 3.8+ with requests
- Anthropic API key
- ESP API access
- SQLite for tracking
Step 1: Set Up Data Collection
import sqlite3
from datetime import datetime
db = sqlite3.connect("email_system.db")
db.execute('''CREATE TABLE IF NOT EXISTS email_data (
id INTEGER PRIMARY KEY AUTOINCREMENT,
email TEXT, metric TEXT, value REAL,
created_at TEXT
)''')
db.commit()
Step 2: Build the AI Layer
import anthropic
from dotenv import load_dotenv
load_dotenv()
client = anthropic.Anthropic()
def process_email_data(input_data, task_type):
message = client.messages.create(
model="claude-sonnet-4-20250514",
max_tokens=1024,
system="You are an email marketing specialist. Generate actionable outputs.",
messages=[{"role": "user", "content": f"Task: {task_type}. Data: {input_data}."}]
)
return message.content[0].text
Step 3: Connect to ESP
import requests
import os
def esp_action(endpoint, payload):
return requests.post(
f"https://api.convertkit.com/v3/{endpoint}",
json={**payload, "api_key": os.getenv("ESP_API_KEY")}
).json()
Step 4: Schedule and Monitor
def daily_report():
rows = db.execute("SELECT metric, AVG(value) FROM email_data WHERE created_at > date('now', '-1 day') GROUP BY metric").fetchall()
for metric, avg in rows:
print(f"{metric}: {avg:.2f}")
0 7 * * * cd /app && python run_email_system.py
What to Build Next
Add performance benchmarking that compares your metrics against industry averages and flags when you fall below standard.
Related Reading
- AI for Email Marketing Automation - how AI transforms email marketing operations
- AI for Customer Retention - practical guide for business operators building AI systems
- Using Claude for Business Analysis - practical guide for business operators building AI systems
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